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Single-cell RNA sequencing (scRNA-seq) has dramatically advanced our ability to dissect complex biological systems at cellular resolution. However, demanding isolation protocols, intricate barcoding schemes and high sequencing costs create a difficult trade-off between the number of cells analysed, the features captured and overall expense.
STAMP is platform-agnostic, enabling laboratories to repurpose existing spatial omics instruments such as Xenium, CosMx, MERSCOPE or Phenocycler Fusion. The layout of cells on the scanning area of the slide is fully customizable, accommodating single or multiple samples. STAMP excels in scalability, enabling single-cell profiling of millions of cells at a cost of up to two orders of magnitude lower than sequencing-based methods.
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Acknowledgements
The authors thank H. Heyn and L. Martelotto for their mentorship and valuable comments on the manuscript.
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Wise, K., Pascual-Reguant, A. Imaging-based multimodal profiling of single cells with STAMP. Nat Rev Genet (2025). https://doi.org/10.1038/s41576-025-00891-6
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DOI: https://doi.org/10.1038/s41576-025-00891-6